Google Translate Scraper Actor

This Apify Actor translates multiple text items in a batch using the googletrans library. It can automatically detect the source language and processes items efficiently by grouping language pairs.

Key Features

• Batch Translation: Translates an array of text items in a single request.
• Auto-Detection: Automatically detects the source language if source_lang is not specified.
• Bulk Processing: Groups translations by language pair for better performance.
• Wide Language Support: Supports a broad range of languages (see source code for full list of language codes).

How to Use

Provide input to the actor as a JSON object. The actor will return a corresponding JSON array with the translation results.

Input Schema

The input must be a JSON object with a batch_items array. Each item in the array is an object with the following properties:

• text: (Required) The text string to translate.
• source_lang: (Optional) The source language code (e.g., 'en', 'fr'). Defaults to 'auto' for automatic detection.
• target_lang: (Required) The target language code (e.g., 'es', 'de').

Example Input

{
  "batch_items": [
    {
      "text": "hello everyone",
      "source_lang": "en",
      "target_lang": "es"
    },
    {
      "text": "bonjour tout le monde",
      "source_lang": "fr",
      "target_lang": "en"
    }
  ]
}

Output Schema

The output is an array of JSON objects, one for each input item. Each object contains:

• item_index: The original position of the item in the input array.
• original_text: The input text provided for translation.
• translated_text: The resulting translated text.
• source_language: The detected or specified source language code.
• target_language: The target language code.
• success: A boolean indicating if the translation succeeded.

Example Output

{
  "item_index": 0,
  "original_text": "hello everyone",
  "translated_text": "hola a todos",
  "source_language": "en",
  "target_language": "es",
  "success": true
}